Edwin Lughofer
TitleCited byYear
Evolving fuzzy systems-methodologies, advanced concepts and applications
E Lughofer
Springer, 2011
FLEXFIS: A robust incremental learning approach for evolving Takagi–Sugeno fuzzy models
ED Lughofer
IEEE Transactions on fuzzy systems 16 (6), 1393-1410, 2008
Evolving fuzzy classifiers using different model architectures
P Angelov, E Lughofer, X Zhou
Fuzzy Sets and Systems 159 (23), 3160-3182, 2008
PANFIS: A novel incremental learning machine
M Pratama, SG Anavatti, PP Angelov, E Lughofer
IEEE Transactions on Neural Networks and Learning Systems 25 (1), 55-68, 2013
Extensions of vector quantization for incremental clustering
E Lughofer
Pattern Recognition 41 (3), 995-1011, 2008
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
E Lughofer, P Angelov
Applied Soft Computing 11 (2), 2057-2068, 2011
Learning in non-stationary environments: methods and applications
M Sayed-Mouchaweh, E Lughofer
Springer Science & Business Media, 2012
Libraries as coworking spaces: Understanding user motivations and perceived barriers to social learning
M Bilandzic, M Foth
Library Hi Tech 31 (2), 254-273, 2013
GENEFIS: toward an effective localist network
M Pratama, SG Anavatti, E Lughofer
IEEE Transactions on Fuzzy Systems 22 (3), 547-562, 2013
Generalized smart evolving fuzzy systems
E Lughofer, C Cernuda, S Kindermann, M Pratama
Evolving Systems 6 (4), 269-292, 2015
On-line assurance of interpretability criteria in evolving fuzzy systems–achievements, new concepts and open issues
E Lughofer
Information Sciences 251, 22-46, 2013
Single-pass active learning with conflict and ignorance
E Lughofer
Evolving Systems 3 (4), 251-271, 2012
On-line elimination of local redundancies in evolving fuzzy systems
E Lughofer, JL Bouchot, A Shaker
Evolving Systems 2 (3), 165-187, 2011
pClass: an effective classifier for streaming examples
M Pratama, SG Anavatti, M Joo, ED Lughofer
IEEE Transactions on Fuzzy Systems 23 (2), 369-386, 2014
Autonomous data stream clustering implementing split-and-merge concepts–towards a plug-and-play approach
E Lughofer, M Sayed-Mouchaweh
Information Sciences 304, 54-79, 2015
An incremental meta-cognitive-based scaffolding fuzzy neural network
M Pratama, J Lu, S Anavatti, E Lughofer, CP Lim
Neurocomputing 171, 89-105, 2016
Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations
F Serdio, E Lughofer, K Pichler, T Buchegger, M Pichler, H Efendic
Information Fusion 20, 272-291, 2014
Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills
F Serdio, E Lughofer, K Pichler, T Buchegger, H Efendic
Information Sciences 259, 304-320, 2014
Reliable all-pairs evolving fuzzy classifiers
E Lughofer, O Buchtala
IEEE Transactions on Fuzzy Systems 21 (4), 625-641, 2012
Central moment discrepancy (cmd) for domain-invariant representation learning
W Zellinger, T Grubinger, E Lughofer, T Natschläger, S Saminger-Platz
arXiv preprint arXiv:1702.08811, 2017
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Articles 1–20